Staphylococcus aureus and Streptococcus agalactiae: prevalence, resistance to antimicrobials, and their relationship with the milk quality of dairy cattle herds in Minas Gerais state, Brazil

Author:

Mesquita Alan A.1ORCID,Rocha Christiane M.B.M.1,Bruhn Fabio R.P.2,Custódio Dircéia A.C.1,Braz Mirian S.1,Pinto Sandra M.1,Silva Délcio B.3,Costa Geraldo M.1ORCID

Affiliation:

1. Universidade Federal de Lavras, Brazil

2. Universidade Federal de Pelotas, Brazil

3. Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas, Brazil

Abstract

ABSTRACT: Bovine mastitis is the most frequent disease worldwide in dairy herds, causing high economic losses to producers and industry, as well as having implications for public health due to the zoonotic potential of some agents involved in its etiology and the increased risk of antimicrobial residues in milk and its derivatives. Considering the multifactorial aspect of this disease, knowledge of the agents involved in its etiology and their antimicrobial susceptibility profiles is very important. This study was conducted with 306 dairy herds from the Campo das Vertentes region, located in the south of Minas Gerais state, whose owners were milk suppliers to a dairy in the same region. The study involved approximately 34,000 dairy cows and covered an area of approximately 12,564 km2. In these herds, prevalence rates of Staphylococcus aureus and Streptococcus agalactiae and their relationship with bulk milk somatic cell counts (BMSCC), total bacterial counts (TBC), and daily production were evaluated. In addition, analyses of resistance of these pathogens to the antimicrobials most commonly used in the treatment of mastitis in dairy herds were performed. Microbiological analyses of milk samples from collect from bulk milk tanks were performed aiming to evaluate the prevalence of S. aureus and S. agalactiae. For these proposes, the modified Baird-Parker Agar medium was used for detection of S. aureus and the modified Edwards Agar medium, enriched with 5% defibrinated sheep blood, was used for detection of S. agalactiae. The disc diffusion technique was applied to evaluate antimicrobial resistance. Results show high prevalence rates of S. aureus (70.3%) and S. agalactiae (67.0%) in the dairy farms studied, with 47.71% of the herds showing both pathogens. Associations between BMSCC and the presence of pathogens S. aureus and S. agalactiae and between TBC and the presence of S. agalactiae were observed, demonstrating the influence of these pathogens in milk quality. No variation was observed in the distribution of S. aureus and S. agalactiae in the different strata of daily production. High levels of resistance and multi-resistance were observed among the pathogens S. aureus and S. agalactiae. The results indicate the need for more effective control measures for mastitis caused by S. aureus and S. agalactiae in the dairy herds of the region studied and more judicious use of antimicrobials in order to reduce the problem of resistance to them.

Publisher

FapUNIFESP (SciELO)

Subject

General Veterinary

Reference49 articles.

1. Qualidade microbiológica do leite refrigerado nas fazendas;Arcuri E.F.;Arq. Bras. Med. Vet. Zootec.,2006

2. Relação entre CCS e os resultados do CMT no diagnostico de mastite bovina;Barbosa C.P.;Biosci. J.,2002

3. Instrução Nomativa nº 7, de 3 de maio de 2016;Diário Oficial da União nº 84 de 04/05/16,2016

4. Padräo de infecção intramamária em rebanhos leiteiros: exame de todos os quartos mamários das vacas em lactação;Brito M.A.V.;Arq. Bras. Med. Vet. Zootec.,1999

5. Susceptibilidade a antibióticos de Staphylococcus aureus isolados de leite bovino no Estado de Minas Gerais;Cardoso H.F.T.;Revta Bras. Med. Vet.,2000

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3